Expectation propagation in linear regression models with spike-and-slab priors.
José Miguel Hernández-LobatoDaniel Hernández-LobatoAlberto SuárezPublished in: Mach. Learn. (2015)
Keyphrases
- expectation propagation
- linear regression models
- gaussian process
- regression analysis
- least squares
- bayesian inference
- approximate inference
- bayesian framework
- density estimation
- prior information
- bayesian methods
- regression trees
- linear regression model
- variational bayes
- regression model
- prior distribution
- belief propagation
- gaussian processes
- posterior distribution
- graphical models
- maximum a posteriori
- dynamic bayesian networks
- latent variables
- parameter estimation
- prior knowledge
- hyperparameters
- machine learning
- mixture model
- state space
- training set
- bayesian networks
- image sequences
- decision trees